Senior AI Security Architect – Enterprise Platforms

GXO Logistics, Inc.; North Carolina; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Life insurance

Disability insurance

Incentive plan

Job summary

GXO Logistics, Inc. is seeking a Lead AI Application Security Engineer to steer security for the Enterprise AI Platform and AI-powered applications. You will set AI security architecture, testing methods, and secure development standards with cross-functional teams across application, cloud, data, and security groups.

The role emphasizes securing AI systems, LLMs, and enterprise AI workloads while aligning with industry frameworks and GXO security policies. Competitive benefits are offered.

Qualifications

• Bachelor's degree or higher in a relevant field.
• 5+ years in application security, DevSecOps, or cloud security.
• Hands-on with AI/ML security for enterprise platforms.
• Proficient in securing CI/CD, Kubernetes, and cloud environments.
• Experience with Google Cloud Platform security and Vertex AI.

Responsibilities

• Lead security testing and AI red teams for GXO's AI apps and platforms.
• Integrate AI security into CI/CD pipelines, cloud infra, and runtimes.
• Develop secure AI development standards, threat models, and architectures.
• Evaluate and manage AI security tooling and automate defenses.
• Collaborate with cross-functional teams to embed AI security in enterprise architecture.

Skills

Security leadership

DevSecOps

Cloud security

AI security

Kubernetes

Container security

API security

Infrastructure as Code

CI/CD pipelines

AI risk modeling

Education

Bachelor's degree in Computer Science, Cybersecurity, IT, Engineering

Tools

Google Cloud Platform security (Vertex AI, GKE, IAM, KMS, VPC Service Controls, Cloud Logging)

NVIDIA Garak

Microsoft PyRIT

Promptfoo

Wiz

Checkmarx

Invicti

Job description

GXO Logistics, Inc. is seeking a Lead AI Application Security Engineer to steer security for the Enterprise AI Platform and AI-powered applications. You will set AI security architecture, testing methods, and secure development standards with cross-functional teams across application, cloud, data, and security groups.

The role emphasizes securing AI systems, LLMs, and enterprise AI workloads while aligning with industry frameworks and GXO security policies. Competitive benefits are offered.